Bayer Corporation

Cp8 Technologies

Olivier Landier

Beri Cohen

Paul E Purpura

Patrice Hameau

Nicolas Fougeroux

Ralph Waters

This invention concerns an optimised management method for allocating memory space of an onboard system to a data structure and a corresponding onboard system. The object code packets and the data packets being discriminated, and the memory being subdivided into addressable elementary memory blocks, the method consists in allocating (A) to the object code packets a set of elementary memory blocks located in a first memory space (MS) to addresses substantially adjacent and to the data packets another set of elementary memory blocks located in a second memory range (MS). This enables to avoid fragmentation of the memory zone, during successive installations/deinstallations and to implement very easily an optimal defragmentation procedure, adapted to each type of data, code or application data.

Optimised management method for allocating memory workspace of an onboard system and corresponding onboard system

The invention concerns a method for dynamically allocating memory workspace of an onboard system to a data structure identified by an identification number (ID_A) and the corresponding onboard system. The storage area of the onboard system being subdivided into elementary memory blocks (BL), the method is implemented on the basis of an allocation instruction and an erasure instruction. To allocate (A) an elementary memory block, the method consists in assigning an identification number (ID-A) to the block concerned. To erase (E) an elementary storage block, the method consists in assigning an arbitrary value (AAAA) different from any identification number. The system is applicable to onboard systems, such as multi-application microprocessor cards.

Method for dynamically allocating memory workspace by elementary memory blocks to a data structure, and corresponding onboard system

A profile of a rack, that may have zero, one, or a plurality of containers may be obtained using an ultrasonic sensor. The sensor emits a plurality of ultrasonic bursts and the rack is transported under the sensor at a slew speed that allows the sensor to detect at least first and second echoes from each of the bursts. Data points, corresponding to each of the first and second echoes, are generated and the data points are captured in a memory device. The data points, generally reflecting the levels of the rack and any containers, are processed to dynamically and non-invasively (i.e., without physically contacting the liquid with a probe) determine information about the container types, whether any container is capped, and, if one or more containers are uncapped, the liquid level in the uncapped containers. This profiling may be used in a variety of devices and is particularly useful in a sample handler in an automated analytical instrument, where the ultrasonic sensor may be positioned above a rack transport mechanism.

Dynamic non-invasive detection of analytical container features using ultrasound

Dynamic noninvasive detection of analytical container feature using ultrasound

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Paris, France

Olivier Landier